Big Data and Analytics Unit 2 – Hadoop and MapReduce: important questions for AKTU
Unit 2 (Hadoop and MapReduce) questions that AKTU repeats most often. This unit carries about 28 marks per paper. Start with the repeated questions, then the most asked topics.
Most repeated Unit 2 questions
- Discuss the process of job scheduling and task execution in Hadoop. How does Hadoop ensure fault tolerance during task execution? (7 marks, 2025, MapReduce Framework) – also asked in 2018, 2022, 2023, 2024
- Discuss the detailed architecture of Map-Reduce. (7 marks, 2025, MapReduce Framework) – also asked in 2018, 2022, 2023, 2024
- Discuss the process of developing a MapReduce application. What are the key steps involved in writing, testing, and deploying a MapReduce program? (10 marks, 2024, MapReduce Framework) – also asked in 2018, 2022, 2023, 2025
Most important Unit 2 topic
- MapReduce Framework (Unit 2: Hadoop and MapReduce) – asked 17 times in 2018, 2022, 2023, 2024, 2025
Most asked Unit 2 topics
- MapReduce Framework – asked 17 times
- Apache Hadoop – asked 16 times
- Hadoop Ecosystem
More Unit 2 previous year questions
- How does Apache Hadoop help process the data? (2 marks, 2025, Apache Hadoop)
- What do you mean by MapReduce? List its main phases. (2 marks, 2025, MapReduce Framework)
- Describe how compression techniques and file formats impact the performance of big data processing systems (2 marks, 2025, Apache Hadoop)
- Discuss in brief about the cluster specification. Describe how to setting up a Hadoop Cluster? (7 marks, 2025, Apache Hadoop)
- What is Hadoop Streaming? (2 marks, 2024, Apache Hadoop)
Unit 2 syllabus topics
- Apache Hadoop
- Hadoop Ecosystem
- MapReduce Framework
- Advanced MapReduce